Data Quality Analyst / Metadata Analyst

APPLY HERE: Data Quality Analyst / Metadata Analyst

• Location: Hybrid working London and Home
• Full Time or Part Time: Full time
• Contract Type: Permanent

Why join us

Joining Sainsbury's as a Data Quality Analyst / Metadata Analyst offers a unique opportunity to play a pivotal role in enhancing data quality and driving impactful changes within the organisation. As part of our team, you will have the chance to manage and optimise the Group Data Catalogue, implementing data quality processes, and collaborating with stakeholders to ensure data integrity and value. With a focus on continuous improvement and innovation, you will be at the forefront of shaping data-driven solutions and contributing to the organisation's success. At Sainsbury's, you will be part of a dynamic and forward-thinking environment that values excellence, collaboration, and professional growth.

What you'll do

To drive and deliver the operational management of ‘assured data’ across the organisation, by progressing data quality improvements/controls and the Group Data Catalogue content and ownership, to ensure analytics, insights and decisions are based on validated data. The role will involve working across multiple teams, a mix of systems with a range of tools and technologies.

As a Data Quality Analyst / Metadata Analyst at Sainsbury's, your primary responsibility will be to manage and optimise the operational management of the Group Data Catalogue, ensuring that data quality is continuously improved through profiling, rule implementation, and triage processes. You will play a crucial role in developing and implementing data catalogue processes that enable users to work with data efficiently, supporting rapid discovery, prototyping, and data science initiatives that drive production solutions. Your role will involve identifying and prioritising artefacts for ingestion, maintaining the Group Data Catalogue, and collaborating with stakeholders to address data quality issues promptly and effectively. By facilitating source system data quality remediation and coordinating with the data ownership community, you will drive appropriate data quality improvements while prioritising and completing tasks within agreed timeframes.

What you need to know and show

As a Data Quality Analyst / Metadata Analyst at Sainsbury's, you are a meticulous and analytical professional with a deep understanding of data quality management and metadata analysis. With a focus on improving data quality and ensuring the integrity of the Group Data Catalogue, you possess the expertise to develop and implement data quality triage processes, identify root causes of data quality issues, and drive continuous improvement initiatives. Your ability to prioritise work effectively, collaborate with stakeholders across the organisation, and leverage technology for data cataloguing and profiling makes you a valuable asset in ensuring high-quality data standards and operational efficiency within the company.

Essential Skills:

• Advanced SQL skills
• Strong knowledge of the tools, technologies, skills and processes required to deliver a great data quality capability
• Well versed and able to demonstrate the concepts of metadata, stewardship, ownership, cataloguing and data quality
• Experienced with working with or being the consumer of a Data Cataloguing capability, such as Alation, Collibra or other

Desirable Skills:

• GitHub working knowledge
• Previous experience of creating reporting and visualisations, using Tableau, Microstrategy, Power BI or other
• Awareness of Data Vault Modelling
• Understanding of design and development of data stores, digital solutions and data warehouses and associated toolsets.
• Data and information management lifecycles
• Knowledge and use of data quality methodologies, approaches, and processes
• Degree in a Mathematics and/or a Science discipline
• How to undertake triage, root cause analysis and resolution- Desirable
• Understanding of JIRA- Desirable
• Understanding of Agile principles- Desirable

Skills and Behaviours

• Own it - takes full accountability for data quality issues through to resolution.
• Make it better - identifies opportunities to improve data availability that is trusted.
• Be human – Engaging with Senior Engineers and Architects to create standardised processes; builds great working relationships with colleagues (technical and non-technical) and shows care and respect to everyone.

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